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PostgreSQL Syntax Checker

Validate PostgreSQL queries in your browser. Each statement is parsed with the PostgreSQL grammar, so Postgres-only syntax such as ::casts, RETURNING and ON CONFLICT is checked correctly.

Runs in your browserUpdated

Your data never leaves your computer. All processing happens 100% locally in your browser.

How to use the PostgreSQL Syntax Checker

  1. Choose your database dialect (MySQL, PostgreSQL, SQL Server, SQLite, BigQuery and more).
  2. Paste or open your SQL — several statements separated by semicolons are fine.
  3. Errors show the line, column and the expected tokens, with the faulty spot marked.
  4. Valid statements are listed with their type and the tables they touch, plus warnings for risky patterns.

What does a SQL validator check?

A SQL validator (or syntax checker) parses your query with the grammar of a specific database and tells you whether it is well formed: balanced parentheses, keywords in the right order, valid expressions, commas between columns and so on. This one splits your script into statements, parses each one separately so you see every broken statement at once, and points at the line and column where parsing stopped. The PostgreSQL grammar is selected by default.

Best-practice warnings

WarningWhy it matters
UPDATE / DELETE without WHEREChanges every row in the table — usually a mistake.
SELECT *Fetches columns you may not need and breaks when columns are added or reordered.
INSERT without a column listDepends on column order; adding a column breaks it.
LIKE '%…'A leading wildcard cannot use a normal index and scans the table.
= NULLNever true; use IS NULL.
ORDER BY without LIMIT in a subquery, or LIMIT without ORDER BYRow order is not guaranteed without an explicit sort.

Dialect differences that cause errors

  • Identifier quotes — MySQL and MariaDB use backticks (`order`), PostgreSQL, SQLite and the SQL standard use double quotes, SQL Server uses square brackets ([order]).
  • Row limits — LIMIT 10 in MySQL, PostgreSQL and SQLite; TOP 10 or OFFSET … FETCH in SQL Server.
  • Upserts — ON DUPLICATE KEY UPDATE (MySQL) vs ON CONFLICT … DO UPDATE (PostgreSQL, SQLite) vs MERGE (SQL Server, Snowflake, BigQuery).
  • Casts — PostgreSQL accepts value::int; most others need CAST(value AS INT).

Common PostgreSQL syntax errors

PostgreSQL reports “syntax error at or near …” with the token where parsing stopped. Typical causes: backticks copied from MySQL (use double quotes), double quotes around string values (use single quotes — double quotes mean identifiers), LIMIT x, y (Postgres needs LIMIT y OFFSET x) and a missing comma in a column list.

Make the query readable with the SQL formatter, generate statements from data with CSV to SQL or JSON to SQL, and design tables with the CREATE TABLE generator.

Tools that pair well with the PostgreSQL Syntax Checker

  • MySQL Syntax Checker — Validate MySQL queries before you run them.
  • Excel to JSON — Open an .xlsx workbook or paste cells straight from Excel or Google Sheets and get clean JSON.
  • JSON to Excel — Turn a JSON array into a real Excel workbook.
  • SQL to JSON, CSV & Excel — Paste a SQL dump or a few INSERT statements and get the rows back as JSON, CSV or an Excel workbook with one sheet per table.

Frequently asked questions

Is my SQL sent to a server or a database?
No. The query is parsed in your browser with the open-source node-sql-parser grammar. Nothing is uploaded and nothing is executed.
Does a valid result mean the query will run?
It means the syntax is valid for the selected dialect. The validator does not know your schema, so a misspelt table or column name, missing permissions or type mismatches only show up when the database runs it.
Why does the error point after my mistake?
A parser reports the first token it cannot fit into the grammar. A misspelt keyword such as WHER is often read as an alias, so the error appears on the next word. Check the token just before the marked position too.
Which statements are supported?
SELECT (with joins, subqueries, CTEs, window functions, UNION), INSERT, UPDATE, DELETE, REPLACE, CREATE / ALTER / DROP TABLE, CREATE INDEX and VIEW, TRUNCATE, USE and more, depending on the dialect. Stored procedures and vendor-specific procedural blocks are not fully covered.

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